About the job
At Dyna Robotics, we are leading the charge in transforming robotic manipulation through advanced foundational models. Our vision is to enable businesses to automate repetitive, stationary tasks with intelligent and cost-effective robotic arms. By harnessing state-of-the-art advancements in foundational models, we are pioneering the future of general-purpose robotics—enhancing one manipulation skill at a time.
Founded by industry veterans who previously realized a $350 million exit in grocery deep tech, alongside top-tier robotics researchers from DeepMind and Nvidia, our team combines elite research, engineering, and innovative product development to propel the future of robotic manipulation. With over $20 million in funding, we are poised to reshape the robotic automation landscape. Join us as we redefine the frontiers of AI-driven robotics.
Position Overview:
As a Data Annotation Specialist at Dyna Robotics, you will play a crucial role in refining our AI systems by meticulously annotating data related to diverse robotic tasks. Your contributions will directly enhance the accuracy and efficiency of our robotic arms. Collaborating closely with our engineering and research teams, you will ensure that data is labeled with the utmost quality and adheres to established standards.
Key Responsibilities:
Manually annotate video sequences (including boxes, masks, keypoints), track IDs, and label actions and temporal segments.
Ensure data integrity through strict adherence to guidelines and quality control checks; address ambiguities and rectify errors.
Utilize pre-annotation and autolabeling tools to enhance throughput—validate and correct model prelabels and fine-tune auto-tracking and segmentation pipelines.
Qualifications:
Associate’s or Bachelor’s degree or equivalent professional experience.
Exceptional attention to detail with a proven track record of consistently applying guidelines.
Ability to follow detailed instructions and work autonomously with minimal supervision.
Strong written communication skills and a collaborative mindset.
Preferred Qualifications:
Practical experience in annotating video content, including boxes, masks, keypoints, action labels, and ID tracking.
Familiarity with annotation tools and comfort in reviewing and correcting pre-annotations and autolabels.
Understanding of machine learning concepts and their application in data annotation.

